Senior Data Architect

2 weeks ago


Charlotte, United States CRC Group Full time

Get AI-powered advice on this job and more exclusive features. We are seeking an experienced Data Architect with deep expertise in Databricks and a strong understanding of the insurance industry. The ideal candidate will design and implement scalable data architectures that support advanced analytics, reporting, and AI/BI/ML initiatives across Broking, Binding, underwriting, claims, actuarial, and policy management functions. Key Responsibilities Data Architecture & Strategy Design and implement enterprise data architecture leveraging Databricks Lakehouse, Delta Lake, and Azure cloud-native services Define data integration, modeling, and governance frameworks tailored for insurance data domains such as agency, carrier, policy, claims, Invoicing & billing, and reinsurance. Create scalable and secure data pipelines that handle structured and unstructured data from internal and external sources. Author and maintain technological roadmap with mappings to business capabilities Experiment and establish adoption blueprint for emerging capabilities within Databrick and in data technology Secure the data with appropriate NIST cyber controls Lead the design of ETL/ELT pipelines using PySpark, SQL, Delta Live Tables, Lakeflow connect, Autoloader, Lake flow declarative pipelines, DBT, and Databricks Workflows. Partner with actuarial, underwriting, and BI teams to design semantic layers and analytics-ready datasets. Optimize performance and cost of Databricks clusters and workflows. Enable machine learning and predictive analytics by providing clean, governed, and feature-rich data sets. Governance & Quality Review solution developed by the divisional teams and vendors to ensure the solution uses modern technology, built to scale, has resilience, and is cost effective to operate. Implement data quality, lineage, and metadata management frameworks using tools like Unity Catalog, Collibra, or Alation. Establish and enforce data security and compliance policies aligned with insurance regulations (e.g., NAIC, Privacy, HIPAA, GDPR, CFIUS). Ensure consistency of master data across operational and analytical systems. Collaborate with business leaders, data engineers, divisional data teams, data visualization experts, and platform head to align architecture with organizational goals. Mentor teams on best practices for data modeling, Databricks optimization, and cloud data architecture. Evaluate new technologies to continuously improve data strategy and capabilities. Required Qualifications Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or related field. 7+ years of experience in data architecture or data engineering, with at least 4 years in Databricks. Strong experience with insurance data models, including policy, claims, premium, fees, agency, underwriting, accounting, and insured domains. Expertise in cloud platforms (AWS, Azure, or GCP) and modern data lakehouse architecture. Proficiency in SQL, PySpark, Delta Lake, and Databricks SQL. Experience integrating with BI tools (Power BI, Tableau, Looker) and data governance tools. Excellent communication and stakeholder management skills. Preferred Skills Experience with streaming data frameworks (Kafka, Delta Live Tables). Familiarity with AI/ML pipelines in Databricks. Certification(s): Insurance Data Management Association (IDMA) certifications Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Insurance #J-18808-Ljbffr



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